UTILIZATION OF E-COMMERCE IN MARKETING SMEs PRODUCTS IN MANADO
Keywords:
UMKM, E-Commerce, Technology Acceptence Model, perceived usefulness, perceived convenience, perceived risk, perceived trust, Grab For Food
Abstract
SMEs are one of the micro-enterprises that empower home-based industries. Indonesian SMEs have a contribution of 15.8% to the global production supply chain at the ASEAN level. The development of MSMEs from year to year is influenced by the use of information technology and information systems. E-commerce is one of the technologies that support the development of SMEs and trade today. Advances in technology, computers, and telecommunications support the development of E-Commerce in Indonesia. With the internet, business actors no longer need to experience difficulties in obtaining any information. The beauty of nature makes the city of Manado synonymous with tourism. The growth of the tourism sector encourages other economic sectors to also develop, namely culinary and handicrafts. In Manado, culinary and handicraft businesses are mostly run by Micro, Small and Medium Enterprises (SMEs) through the #TerusUsaha program pioneered by Grab For Good which is a concrete step from Grab to increase the ability, capacity, and reach for MSMEs and individuals in welcoming the future. ahead of the digital economy. The purpose of this study was to find out more about the factors that influence the participation intention of MSME actors through the #Keep Business program initiated by Grab. The four variables used in this study are Perceived Usefulness, Perceived Ease of Use, Perceived Risk, and Perceived Trust. This study uses multilinear regression to analyze the effect of the variables perceived usefulness, perceived convenience, perceived risk, and perceived trust as independent variables. The results of this study indicate that perceived usefulness and perceived risk have no significant effect on the Grab for Good program, while perceptions of convenience and perceptions of trust have a significant and positive effect on the Grab for Good program
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54. Kankaew, K., Yapanto, L. M., Waramontri, R., & Arief, S. (2021). Uncertain Supply Chain Management Supply chain management and logistic presentation : Mediation effect of competitive advantage. 9, 255–264. https://doi.org/10.5267/j.uscm.2021.3.007
2. Amaroso, D.L.(2011). Building A Research Model For Mobile Wallet Consumer Adoption.
3. Jurnal Of Theoretical AndApplied Electronic Commerce Research, 7 (1),94-110 Arens, W., Schaefer, D., and Weigold, M. 2013. The Nine P’s. Contemporary Advertising.
Article.
4. Arikunto, S. 2006. Metode Penelitian Kualitatif. Jakarta: Bumi Aksara
5. Arikunto.2006. Prosedur Penelitian Suatu Pendekatan Praktik. Edisi revisi-VI.Cetakan ke- 13.Jakarta: PT.RenikaCipta.
6. Bailey, A., Pentina, I., Mishra, A.S, &Mimoun, M.S. 2017. Mobile payments adoption by USconsumers: an extended TAM. International Journal of Retail & DistributionManagement, Vol. 45 Issue: 6.
7. Burns, A., Burns, R (2008). Basic Marketing Research (2nd ed.). New Jersey: Pearson Education. p. 245. ISBN 978-0-13-205958-9.
8. Chanchai Phonthanukitithaworn, Carmine Sellitto, and Michelle W. Fong, (2016). A Comparative Study of Current and Potential Users of Mobile Payment Services.
9. SAGE Open October-December 2016: 1 –14. DOI: 10.1177/2158244016675397
10. sgo.sagepub.com
11. Cohen, William A. 2013. Peter Drucker on Sales and Marketing.Pp 35.McGraw Hill. New York. Consult, A.N. (2002). China Online Banking Study.
12. Cronin, JR., et al. (2000). “Assessing the effects of quality, value, and customer satisfaction on consumer behavioral intentions in service environments”, Journal of Retailing, 76(20), 193-218.
13. Lapian, A. L. C. P. (2018). Small and Medium Enterprises towards Economic Growth in North Sulawesi, Indonesia. Scientific Research Journal, VI(II), 20–23. http://www.scirj.org/papers-0218/scirj-P0218497.pdf
14. Davis, F. D. (1989), "Perceived usefulness, perceived ease of use, and user acceptance of information technology", MIS Quarterly, 13 (3): 319–340, doi:10.2307/249008, JSTOR 249008
15. Davis, F. D. (1993). User Acceptance Of Information Technology: System Characteristics, User Perceptions, and Behavioral Impacts. International Journal of Man-Machine Studies, 38(3), 475–487.
16. Davis, F. D.; Bagozzi, R. P.; Warshaw, P. R. (1989), "User acceptance of computer technology: A comparison of two theoretical models", Management Science, 35 (8): 982–1003, doi:10.1287/mnsc.35.8.982
17. Dzulhaida, R., Rifaldi, R., & Giri, W. (2017). Analisis Masyarakat Terhadap Penggunaan Layanan E-Money di Indonesia dengan Menggunakan Model Modifikasi Unified Theory of Acceptance and Use Technology 2 ( UTAUT 2). Consumer Behavior, 15 (2)155–166.
18. Educational Research Association, American Psychological Association, & National Council on Measurement in Education. (1999). Standards for educational and psychological testing. Washington, DC: American Educational Research Association.
19. Gefen, E. Karahanna, and D. W. Straub (2003). “Trust and TAM in online shopping: An integratedmodel,” MIS Quarterly, vol. 27, no. 1, pp. 51–90.
20. Ghozali, Imam. 2012. Aplikasi Analisis Multivariate dengan Program IBM SPSS 20. Semarang: Badan Penerbit – Universitas Diponegoro.
21. Gounaris, S., Dimitriadis, S., & Stathakopoulos, V. (2010). An examination of the effects of service quality and satisfaction on customers’ behavioral intentions in e-shopping. Journal of Services Marketing , 24 (2).
22. Granger, C. W. J., and Newbold, P. (1974). “Spurious Regressions in Econometrics”. Journal ofEconometrics, 2: 111-120.
23. Hair, J. 2007.Marketingresearch.North Ryde, N.S.W. McGraw Hill, Australia.
24. Haitham Jouda and Valliappan Raju, (2018). The Role of Perceived Trust on Consumer Intention Toward Mobile Banking in Palestine. International Journal of Innovative Science and Research Technology. Volume 3, Issue 9, September – 2018.
25. Hansen, J. M., G., Benson, V & Saridakis, G. (2017). Risk , Trust , and the Interaction of Perceived Ease of Use and Behavioral Control in Predicting Consumers ’ Use of Social Media for Transactions. Computers in Human Behavior. https://doi.org/10.1016/j.chb.2017.11.010.
26. Hatcher, L. (1994).A step-by-step approach to using the SAS(R) system for factor analysis and structural equation modeling. Cary, NC: SAS Institute.
27. Indra Bastian. 2007.Sistem Akuntansi Sektor Publik. Jakarta.Salemba Empat
28. Indriantoro, Nurdan Bambang Supomo, 2002. Metodologi Penelitian Bisnis Untuk Akuntansi dan Manajemen. EdisiPertama. BPFE.Yogyakarta.
29. Jennifer, Adji, & H. Semuel. (2014). Pengaruh Satisfaction dan Trust Terhadap Minat Beli Konsumen ( Purchase Intention) di Starbucks The Square. Jurnal Manajemen Pemasaran Petra, 2(1), 1–10.
30. Jyh&Chiou, S. (2004). The antecedents of consumers’ loyalty toward Internet Service Providers. Information & Management, 41 p.685–695
31. Keat, T. K., & Mohan, A. (2004). Integration of TAM based electronic commerce models fortrust. Journal of the American Academy of Business, 404.
32. Khairul Amri and Jen Surya, (2013). Student Behaviour Study in Internet with The Approach of Technology Acceptance Model (TAM). Jurnal Penelitian Pos dan
33. Informatika Vol. 3 No. 1 September 2013 : 67 – 80.
34. Khatimah, H., & Halim, F. (2014). Consumers’ Intention to use e-money in Indonesia based onUnified Theory of Acceptance and Use of Technology (UTAUT). American- Eurasian Journal of Sustainable Agriculture, 8(12), 34–40.
35. Olsen, Wyckoff. (2011). A Study of Satisfaction, Loyalty, and Market Share in Kuwait Banks.
36. Proceedings of the Academy for Studies in International Business, Vol. 10. pp. 2-7. Ondrus, J., &Pigneur, Y. (2007). An Assessment of NFC for Future Mobile Payment Systems.
37. International Conference on the Management of Mobile Business (ICMB 2007), (Icmb),. https://doi.org/10.1109/ICMB.2007.9.
38. Paunov, Caroline and Vickery, Graham, 2006. Online Payment systems for E- Commerce.
39. Organization for Economic Co-operation and development (OECD).
40. Persaud, N. (2010). Primary data source. In N. Salkind (Ed.), Encyclopedia of research design.(pp. 1095-1098). Thousand Oaks, CA: SAGE Publications, Inc.
41. Phonthanukitithaworn, C., Sellitto, C, & Fong, M.W.L (2016). An investigation of mobile payment (mpayment) services in Thailand. Asia-Pacific Journal of Business Administration, Vol. 8 Iss 1.
42. Priambodo, S., & Prabawani, B. (2016). Pengaruh Persepsi Manfaat, Persepsi Kemudahan
43. Sekaran, U., Bougie, R. (2009). Research Methods for Business: A Skill-Building Approach (5thed.) Hoboken: John Wiley and Sons Inc.
44. Sekaran, Uma (2003), Research Methods For Business: A Skill Building Aproach, New York-USA: John Wiley and Sons, Inc
45. Sekaran, Uma. 2011. Research Methods ForBusiness (Metode Penelitian Untuk Bisnis). Jakarta : Salemba Empat.
46. Septiani, R., Handayani, P. W., & Azzahro, F. (2017). Factors that Affecting Behavioral Intention in Online Transportation Service: Case study of GOJEK. ProcediaComputer Science, 124, 504–512. https://doi.org/10.1016/j.procs.2017.12.183.
47. Sharma, S.K., Gaur,.A., Saddikuti, V., Rastogi, A, 2017.Structural Equation Model (Sem)
48. Neural Network (Nn) Model for Predicting Quality Determinants of E-Learning Management Systems Behav. Inf. Technol. 36 (10), 10531066.
49. Sugiyono. (2014) Metode Penelitian Kuantitatif Kualitatif dan R&D. Bandung Alfabeta Sugiyono. (2016). Metode Penelitian Manajemen. Bandung: Alfabeta.
50. Sugiyono. 2007. Sample of Qualitative Analysis. Journal of Marketing Research.
51. Sugiyono. 2008. Metode Penelitian Kuantitatif Kualitatif dan R&D. Bandung : ALFABETA. Sugiyono. 2010. MetodePenelitianPendidikanPendekatanKuantitatif, kualitatif, dan R&D.Bandung: Alfabeta.
52. Sulaiman, W. (2004). Analisis-Analisis Regresi menggunakan SPSS, Yogyakarta : ANDI. Sunarto Zulkifli. 2003. Fanduan Praktis Transaksi Perbankan Syariah. Yogyakarta: Ekonisia
53. Surendran, P. (2012). Technology Acceptance Model: A Survey of Literature. International Journal of Busniness and Social Research, 175
54. Kankaew, K., Yapanto, L. M., Waramontri, R., & Arief, S. (2021). Uncertain Supply Chain Management Supply chain management and logistic presentation : Mediation effect of competitive advantage. 9, 255–264. https://doi.org/10.5267/j.uscm.2021.3.007
Published
2022-12-06
How to Cite
Christoffel Kojo, Debry Chrystie A.Lintong, Jeffry Leonard, & A Tampenawas. (2022). UTILIZATION OF E-COMMERCE IN MARKETING SMEs PRODUCTS IN MANADO . International Journal on Economics, Finance and Sustainable Development, 4(11), 124-133. https://doi.org/10.31149/ijefsd.v4i11.3744
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Articles
